Chat-With-Github-Repo

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Chat-with-Github-Repo is an AI Agents & Automation tool that creates a chatbot for Git repositories. It uses Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake to find and generate responses from repository data.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Chat-with-Github-Repo?

Chat-with-Github-Repo is a powerful tool designed to create intelligent chatbots capable of interacting with the content of Git repositories. It leverages Streamlit for the web application interface, OpenAI GPT-3.5-turbo for natural language understanding and generation, and Activeloop's Deep Lake for efficient data storage and retrieval of embeddings. The tool processes Git repositories, computes embeddings of text documents, and stores them in a DeepLake instance. Users can then query this dataset to find relevant information and receive AI-generated responses based on the repository's content, making it ideal for understanding and navigating complex codebases or documentation.

Best used for

Ideal for developers and data scientists who need to quickly understand the content of Git repositories, build interactive Q&A systems for documentation, and leverage AI for code analysis. Especially valuable for navigating large projects or providing automated support for open-source contributions.

Common actions

create chatbots

analyze codebases

query repositories

process documents

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Capabilities

Key features

Git repository cloning
Text document processing
OpenAI embeddings computation
Deep Lake storage
Streamlit web application
CLI for chatbot management

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What technologies are used to build the Chat-with-Github-Repo chatbot?

The chatbot is built using Streamlit for the web interface, OpenAI GPT-3.5-turbo for language processing, and Activeloop's Deep Lake for storing and managing the embeddings of the Git repository data. It leverages these tools to provide an interactive experience.

How do I set up and run the Chat-with-Github-Repo project?

To set up, clone the repository, install Python requirements, and configure your OpenAI and Activeloop API keys in the .env file. You can then use the provided CLI to process a Git repository and start the Streamlit chat application.

Can I specify which files to include when processing a Git repository?

Yes, when processing a Git repository using the CLI, you can specify additional options such as file extensions to include. This allows you to focus the chatbot's knowledge base on specific types of documents within the repository.

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